Anshu Parashar

23 papers Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantum Fourier Transformation and Clifford Gate-Driven Secure Communication Model for Smart Grid Environments.
IEEE Trans. Dependable Secur. Comput.
Pooja Rani, Ashutosh Kumar Singh, Anshu Parashar, Deepika Saxena
2026 J jnl
Quantum-Based Multifaceted Cybersecurity Model for Smart Grid Data Communications.
IEEE Trans Autom. Sci. Eng.
Pooja Rani, Ashutosh Kumar Singh, Anshu Parashar, Deepika Saxena
2025 J jnl
An intelligent virtual machine allocation optimization model for energy-efficient and reliable cloud environment.
J. Supercomput.
Smruti Rekha Swain, Anshu Parashar, Ashutosh Kumar Singh, Chung-Nan Lee
2025 J jnl
Explainable deep learning approach to predict residential electricity demand.
Int. J. Syst. Assur. Eng. Manag.
Simarjit Kaur, Anju Bala, Anshu Parashar
2024 J jnl
Efficient straggler task management in cloud environment using stochastic gradient descent with momentum learning-driven neural networks.
Clust. Comput.
Smruti Rekha Swain, Anshu Parashar, Ashutosh Kumar Singh, Chung-Nan Lee
2024 J jnl
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances.
Evol. Syst.
Simarjit Kaur, Anju Bala, Anshu Parashar
2024 — conf
Quantum-Secure Data Transmission in Smart Grid.
MCSoC
Pooja Rani, Ashutosh Kumar Singh, Anshu Parashar, Deepika Saxena
2023 — conf
An Energy Efficient Virtual Machine Placement Scheme for Intelligent Resource Management at Cloud Data Center.
OCIT
Smruti Rekha Swain, Anshu Parashar, Ashutosh Kumar Singh, Chung-Nan Lee
2023 J jnl
Multi-dimensional information-driven many-objective software remodularization approach.
Frontiers Comput. Sci.
Amarjeet Prajapati, Anshu Parashar, Amit Rathee
2022 J jnl
Intelligent energy aware approaches for residential buildings: state-of-the-art review and future directions.
Clust. Comput.
Simarjit Kaur, Anju Bala, Anshu Parashar
2022 J jnl
Machine learning approach for software defect prediction using multi-core parallel computing.
Autom. Softw. Eng.
Anshu Parashar, Raman Kumar Goyal, Sakshi Kaushal, Sudip Kumar Sahana
2022 J jnl
Machine learning model for mapping of music mood and human emotion based on physiological signals.
Multim. Tools Appl.
Anupam Garg, Vybhav Chaturvedi, Arman Beer Kaur, Vedansh Varshney, Anshu Parashar
2022 J jnl
Multimedia in search-based software engineering: challenges and opportunities within a new research domain.
Multim. Tools Appl.
Amarjeet Prajapati, Anshu Parashar, Sunita, Jitender Kumar Chhabra, Chakresh Kumar Jain
2022 J jnl
Obtaining Crisp Priorities for Triangular and Trapezoidal Fuzzy Judgments.
Comput. Syst. Sci. Eng.
Raman Kumar Goyal, Jaskirat Singh, Nidhi Kalra, Anshu Parashar, Gagan Singla, Sakshi Kaushal
2021 J jnl
Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring.
Complex.
Amarjeet Prajapati, Anshu Parashar, Sunita, Alok Mishra
2021 J jnl
Machine Learning Based Framework for Classification of Children with ADHD and Healthy Controls.
Intell. Autom. Soft Comput.
Anshu Parashar, Nidhi Kalra, Jaskirat Singh, Raman Kumar Goyal
2019 J jnl
Assessing impact of class change by mining class associations.
Int. Arab J. Inf. Technol.
Anshu Parashar, Jitender Kumar Chhabra
2016 J jnl
An approach for clustering class coupling metrics to mine object oriented software components.
Int. Arab J. Inf. Technol.
Anshu Parashar, Jitender Kumar Chhabra
2016 J jnl
Mining software change data stream to predict changeability of classes of object-oriented software system.
Evol. Syst.
Anshu Parashar, Jitender Kumar Chhabra
2014 J jnl
Measuring Change-Readiness of Classes by Mining Change-History.
ACM SIGSOFT Softw. Eng. Notes
Anshu Parashar, Jitender Kumar Chhabra
2014 — conf
Prediction of changeability for object oriented classes and packages by mining change history.
CCECE
Jitender Kumar Chhabra, Anshu Parashar
2011 — conf
Clustering Dynamic Class Coupling Data to Measure Class Reusability Pattern.
HPAGC
Anshu Parashar, Jitender Kumar Chhabra
2011 — conf
Mining Class Association Rules from Dynamic Class Coupling Data to Measure Class Reusability Pattern.
ICSI (2)
Anshu Parashar, Jitender Kumar Chhabra